Software Engineer III, AI/ML, Search News Intelligence

Google LLC
Mountain View, United States of America
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 211K

Job location

Mountain View, United States of America

Tech stack

Artificial Intelligence
Algorithm Design
Data analysis
Bioinformatics
C++
Content Analysis
Data Structures
Software Debugging
Distributed Systems
Design of User Interfaces
Push Technology
Information Retrieval
Python
Machine Learning
Natural Language Processing
Systems Development Life Cycle
Search Technologies
Software Engineering
Systems Architecture
Reinforcement Learning
Data Processing
Data Storage Technologies
Feature Engineering
Model Validation
Indexer
Information Technology
Search Engines
Machine Learning Operations
Front End Software Development

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward., * Collaborate closely with Indexing, Frontend, and Product Management partners on system development and launches.

  • Conduct feature engineering to improve signals for content understanding and ranking.
  • Optimize ranking performance against user, ecosystem, and quality metrics while iterating on quality using experiments, human evaluations, and automated rating systems.
  • Experiment with and deploy advanced document and query understanding signals.
  • Implement solutions in one or more specialized machine learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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Requirements

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor's degree or equivalent practical experience.

  • 2 years of experience with software development in C++ programming languages, or 1 year of experience with an advanced degree.
  • 2 years of experience analyzing data through statistical, quantitative modeling and forecasting.
  • 2 years of experience designing, implementing, and optimizing advanced algorithms.
  • 1 year of experience with one or more of the following: Natural Language Processing, reinforcement learning (e.g., sequential decision making), ranking, ML infrastructure, or specialization in another ML field.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)., * Master's degree or PhD in Computer Science or a related technical field.
  • 2 years of experience with data structures and algorithms.
  • Experience with frameworks and tools relevant to AI/ML development and deployment, including proficiency in Python.
  • Experience in designing and refining ranking algorithms or performing feature engineering for content understanding.
  • Experience developing accessible technologies.
  • Familiarity with search technologies, information retrieval, and natural language processing.

Benefits & conditions

The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (https://careers.google.com/benefits/) .

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